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The Department of Computer Science in the College of Engineering at UC Davis, invites applications for a pool of qualified temporary instructors to teach a course in Hacking 4 Climate: business models for addressing climate challenges.
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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
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Master's degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Search #: 496807 Work type: Full-time Location: Storrs Campus Categories: Faculty Lecturer INTRODUCTION The Department of Computer Science & Engineering at the University of Connecticut invites applications for a non-tenure track position at the rank of Lecturer at the Storrs campus.
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We seek dynamic educators with a passion for computer science and a commitment to inclusive, experiential learning. Deliver engaging undergraduate and/or graduate courses in computer science.
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Bachelor's Degree in Human factors (e.g. human-computer interaction, human-centered design, human-centered design and engineering), Information systems (e.g. information architecture, information design, knowledge management, information science, information management, information experience design, informatics, information systems), social science (e.g. psychology, cognitive science, anthropology), computer science and/or user experience research.
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Current or upcoming enrollment in a full-time Masters Degree program at an accredited university, in Aerospace Engineering, Mechanical Engineering, Materials Science/Engineering, Electrical Engineering, Chemical Engineering, Computer Science, or related STEM discipline.
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Preferred Experience MSc. or PhD in Bioinformatics, Computational Biology, Computer Science, Software Engineering, or related field. This position will lead a team of bioinformaticians and data scientists developing and leveraging multi-omics assays based on next-generation sequencing (NGS), computer vision, and other advanced analytical approaches.
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Experience with high throughput sequencing methods and sample preparation, fluorescence microscopy, flow cytometry, lentivirus handling, and computer programming. Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds.
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MS in Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics. Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
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Or MatlabPreferred:Experience working within DoD/IC Analysis or Operational environmentsExperience with Git, GUI development, open source scientific computation, computer vision, physics modeling, or machine learning toolsARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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A technical degree (e.g., electrical engineering, computer science/engineering, chemistry, biology, biomedical engineering) is strongly preferred, along with significant experience handling substantive patent issues.
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computer science jobs Title: associate professor assistant Company: University Of Missouri Kansas City in Castle-rock, Colorado
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